#!/usr/bin/env python
# -*- coding:utf-8 -*-
# author:sirian
# datetime:2018/11/9 16:29
# software: PyCharm
#!/usr/bin/env python
# -*- coding:utf-8 -*-

# 使用了线程库
import threading
# 队列
from Queue import Queue
# 解析库
from lxml import etree
# 请求处理
import requests
# json处理
import json
import time
CRAWL_EXIT = False
PARSE_EXIT = False
class ThreadCrawl(threading.Thread):
    def __init__(self, threadName, pageQueue, dataQueue):
        #threading.Thread.__init__(self)
        # 调用父类初始化方法
        super(ThreadCrawl, self).__init__()
        # 线程名
        self.threadName = threadName
        # 页码队列
        self.pageQueue = pageQueue
        # 数据队列
        self.dataQueue = dataQueue
        # 请求报头
        self.headers = {"User-Agent" : "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0;"}

    def run(self):
        print "启动 " + self.threadName
        while not CRAWL_EXIT:
            try:
                # 取出一个数字，先进先出
                # 可选参数block，默认值为True
                #1. 如果对列为空，block为True的话，不会结束，会进入阻塞状态，直到队列有新的数据
                #2. 如果队列为空，block为False的话，就弹出一个Queue.empty()异常，
                page = self.pageQueue.get(False)
                url = "http://www.qiushibaike.com/8hr/page/" + str(page) +"/"
                #print url
                content = requests.get(url, headers = self.headers).text
                time.sleep(1)
                self.dataQueue.put(content)
                #print len(content)
            except:
                pass
        print "结束 " + self.threadName

class ThreadParse(threading.Thread):
    def __init__(self, threadName, dataQueue, filename, lock):
        super(ThreadParse, self).__init__()
        # 线程名
        self.threadName = threadName
        # 数据队列
        self.dataQueue = dataQueue
        # 保存解析后数据的文件名
        self.filename = filename
        # 锁
        self.lock = lock

    def run(self):
        print "启动" + self.threadName
        while not PARSE_EXIT:
            try:
                html = self.dataQueue.get(False)
                self.parse(html)
            except:
                pass
        print "退出" + self.threadName

    def parse(self, html):

        content_xml = etree.HTML(html)

        # 返回所有段子的结点位置，contains()模糊查询方法，第一个参数是要匹配的标签，第二个参数是标签名部分内容
        node_list = content_xml.xpath('//div[contains(@class, "article block untagged mb15")]')
        user_all_information = {}
        for node in node_list:
            # 用户名
            username = node.xpath('.//img/@alt')
            # 图片链接（非用户的）,有的客户没有
            user_send_img = node.xpath('.//div[contains(@class ,"thumb")]/a/img/@src')
            # 段子的文字内容
            user_content = node.xpath('.//div[contains(@class, "content")]/span')
            # 点赞数量
            user_zan = node.xpath('.//div[contains(@class, "stats")]/span[@class="stats-vote"]/i[@class="number"]')
            # 评论数量
            user_pinglun = node.xpath(
                './/div[contains(@class ,"stats")]//span[@class="stats-comments"]//i[@class="number"]')
            # print user_zan
            # print(user_zan)
            user_all_information = {
                "username": username[0],
                "user_send_img": user_send_img,
                "user_content": user_content[0].text,  # text取下标签半酣的内容，因为不是@的
                "user_zan": user_zan[0].text,
                "user_pinglun": user_pinglun[0].text
            }

            # with 后面有两个必须执行的操作：__enter__ 和 _exit__
            # 不管里面的操作结果如何，都会执行打开、关闭
            # 打开锁、处理内容、释放锁
            with self.lock:
                # 写入存储的解析后的数据
                self.filename.write(json.dumps(user_all_information, ensure_ascii = False).encode("utf-8") + "\n")




def main():
    # 页码的队列，表示20个页面
    pageQueue = Queue(20)
    # 放入1~10的数字，先进先出
    for i in range(1, 21):
        pageQueue.put(i)

    # 采集结果(每页的HTML源码)的数据队列，参数为空表示不限制
    dataQueue = Queue()

    filename = open("duanzi.json", "a")
    # 创建锁
    lock = threading.Lock()

    # 三个采集线程的名字
    crawlList = ["采集线程1号", "采集线程2号", "采集线程3号"]
    # 存储三个采集线程的列表集合
    threadcrawl = []
    for threadName in crawlList:
        thread = ThreadCrawl(threadName, pageQueue, dataQueue)
        thread.start()
        threadcrawl.append(thread)


    # 三个解析线程的名字
    parseList = ["解析线程1号","解析线程2号","解析线程3号"]
    # 存储三个解析线程
    threadparse = []
    for threadName in parseList:
        thread = ThreadParse(threadName, dataQueue, filename, lock)
        thread.start()
        threadparse.append(thread)

    # 等待pageQueue队列为空，也就是等待之前的操作执行完毕
    while not pageQueue.empty():
        pass

    # 如果pageQueue为空，采集线程退出循环
    global CRAWL_EXIT
    CRAWL_EXIT = True

    print "pageQueue为空"

    for thread in threadcrawl:
        thread.join()
        print "1"

    while not dataQueue.empty():
        pass

    global PARSE_EXIT
    PARSE_EXIT = True

    for thread in threadparse:
        thread.join()
        print "2"

    with lock:
        # 关闭文件
        filename.close()
    print "谢谢使用！"

if __name__ == "__main__":
    main()

